{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fcaf21bb",
   "metadata": {},
   "source": [
    "# PLAsTiCC dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6d3c979",
   "metadata": {},
   "source": [
    "This notebook gives an example of Active Anomaly Detection with `coniferest` and [PLAsTiCC](https://plasticc.org/) dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "36bf8451",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from time import monotonic\n",
    "from datetime import timedelta\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from coniferest.datasets import plasticc_gp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ad7ca7a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "data, metadata = plasticc_gp()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "56c68487",
   "metadata": {},
   "outputs": [],
   "source": [
    "from coniferest.isoforest import IsolationForest\n",
    "from coniferest.aadforest import AADForest\n",
    "from coniferest.pineforest import PineForest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4d71919b",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = {\n",
    "    \"Isolation Forest\": IsolationForest,\n",
    "    \"AAD Forest\": AADForest,\n",
    "    \"Pine Forest\": PineForest,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a3b7799d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from coniferest.session import oracle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e09743ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "max_iterations = 100\n",
    "max_trials = 20\n",
    "\n",
    "steps = np.arange(1, max_iterations + 1)\n",
    "\n",
    "anomalies = {}\n",
    "wall_times = {}\n",
    "for name, model_class in models.items():\n",
    "\n",
    "    wall_time = []\n",
    "    anomalies_ = []\n",
    "    for i in range(max_trials):\n",
    "        session = oracle.create_oracle_session(data, metadata,\n",
    "                                               model = model_class(random_seed = i),\n",
    "                                               max_iterations = max_iterations)\n",
    "    \n",
    "        start_time = monotonic()\n",
    "    \n",
    "        session.run()\n",
    "    \n",
    "        wall_time.append(timedelta(seconds = monotonic() - start_time))\n",
    "    \n",
    "        labels = (1 - np.asarray(list(session.known_labels.values()), dtype=int)) // 2\n",
    "        anomalies_.append(np.cumsum(labels) / steps)\n",
    "    \n",
    "    anomalies[name] = np.asarray(anomalies_)\n",
    "    wall_times[name] = np.median(np.asarray(wall_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "640c91d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Fraction of anomalies')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for name in models.keys():\n",
    "    q5 = np.quantile(anomalies[name], 0.05, axis = 0)\n",
    "    median = np.median(anomalies[name], axis = 0)\n",
    "    q95 = np.quantile(anomalies[name], 0.95, axis = 0)\n",
    "    \n",
    "    plt.plot(steps, median,\n",
    "             alpha=0.75,\n",
    "             label=\"{} ({:.0f} sec.)\".format(name, wall_times[name].total_seconds()))\n",
    "    plt.fill_between(steps, q5, q95, alpha=0.5)\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel(\"Iteration\")\n",
    "plt.ylabel(\"Fraction of anomalies\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "snad2024",
   "language": "python",
   "name": "snad2024"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
